County

State

National

HP 2020

Numerator

Civilian non-institutionalized persons under 65 years of age who report having no health insurance

Population

Civilian non-institutionalized persons under 65 years of age

2012 - Dimensions

Aged 0-18 years

County Value: 5.7%County Low:4.3%County High:7.1%Standard Error:0

Comparison of 121 Counties

5.7%

Low: 4.5High: 10.6

Aged 18-64 years

County Value: 22.9%County Low:20.7%County High:25.1%Standard Error:0

Comparison of 121 Counties

22.9%

Low: 12.2High: 28.2

Male

County Value: 18.8%County Low:16.5%County High:21.1%Standard Error:0

Comparison of 121 Counties

18.8%

Low: 10.1High: 23.5

Female

County Value: 17.3%County Low:15.0%County High:19.6%Standard Error:0

Comparison of 121 Counties

17.3%

Low: 9.2High: 21.6

Total

County Value: 18.1%County Low:16.5%County High:19.7%Standard Error:0

Comparison of 121 Counties

18.1%

Low: 9.6High: 22.5

Historical Data

Dimension

2012

2011

2010

2009

2008

2007

Total

18.1%16.5% / 19.7%

17.1%15.4% / 18.8%

18.1%16.3% / 19.9%

17.4%15.9% / 18.9%

16.9%15.4% / 18.4%

16.1%13.8% / 18.4%

Aged 0-18 years

5.7%4.3% / 7.1%

6.1%4.5% / 7.7%

6.8%5.0% / 8.6%

DSU

DSU

DSU

Aged 18-64 years

22.9%20.7% / 25.1%

21.4%19.2% / 23.6%

22.6%20.2% / 25.0%

DSU

DSU

DSU

Male

18.8%16.5% / 21.1%

18.4%16.0% / 20.8%

19.5%16.9% / 22.1%

DSU

DSU

DSU

Female

17.3%15.0% / 19.6%

15.9%13.6% / 18.2%

16.7%14.2% / 19.2%

DSU

DSU

DSU

DSU - Data statistically unreliable.

Methodology

SAHIE provides model-based estimates of health insurance coverage for all states and counties in the United States. For estimation, SAHIE uses statistical models that combine survey data from the Annual Social and Economic Supplement to the Current Population Survey (CPS ASEC) with administrative records data and Census 2000 data. The models are “area level” models because SAHIE uses survey estimates and administrative data at certain levels of aggregation, rather than individual survey and administrative records. The modeling approach is similar to that of common models developed for small area estimation, but with some additional complexities. The published estimates are based on aggregates of modeled demographic groups. For states, SAHIE models at a base level defined by the full cross-classification of: four age groups, four race/ethnicity groups, both sexes and three income groups. For counties, it models at a base level defined by four age groups both sexes, and two income groups.

SAHIE uses random continuous predictors, which include data from Census 2000, Internal Revenue Service, Supplemental Nutrition Assistance Program and Medicaid/Children’s Health Insurance Program. These are not fixed predictors in the model. Instead, it treats them as random, in a way similar to survey estimates. They are not unbiased estimators of the numbers. Instead, we assume that their expectations are linear functions of the total or number insured in an income group. SAHIE typically assumes they are normally distributed with variances that depend on unknown parameters.

SAHIE formulates the model in a Bayesian framework and reports the posterior means as the point estimates. It uses the posterior means and variances together with a normal approximation to calculate symmetric 90-percent confidence intervals, and reports their half-widths as the margins of error.

Confidence intervals of 90% are used for the SAHIE.

Data Source(s)

Small Area Health Insurance Estimates (SAHIE)

Description
The U.S. Census Bureau's Small Area Health Insurance Estimates (SAHIE) program produces estimates of health insurance coverage for states and all counties.

MethodologyThe SAHIE program models health insurance coverage by combining survey data with population estimates and administrative records. The estimates are based on data from the following sources: •The Annual Social and Economic Supplement (ASEC) of the Current Population Survey (CPS);
•Demographic population estimates;
•Aggregated federal tax returns;
•Participation records for the Supplemental Nutrition Assistance Program (SNAP), formerly known as the Food Stamp program;
•County Business Patterns;
•Medicaid and Children's Health Insurance Program (CHIP) participation records; and
•Census 2000.